import time 
import numpy as np
import pandas as pd
import pymysql 
from datetime import datetime

class MysqlUtils(object):
    def __init__(self,*args):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd="root",
            db="scenic1",
            port=3306,
            charset="utf8"
        )

    def get_scenic1_data(self):
        """获取数据
        """
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT 
        order_id, 
        age, 
            user_count, 
            id_no, 
            user_name, 
            phone
        FROM (
        SELECT o.id as order_id, u.id_no, u.user_name, u.phone,
        CASE 
            WHEN LENGTH(u.id_no) = 18 THEN YEAR(NOW()) - CAST(SUBSTR(u.id_no, 7, 4) AS SIGNED) 
                ELSE NULL 
            END AS age,
        (SELECT count(*) FROM ticket_order_user_rel WHERE order_id = o.id) as user_count
        FROM ticket_order o join ticket_order_user_rel  u on u.order_id = o.id WHERE u.id_no is not null and u.id_no != '' ) as subquery
        WHERE user_count = 1 and (age < 18 or age >= 60)

        """
        
        cursor.execute(sql)
        ret = cursor.fetchall()
        
        df = pd.DataFrame(ret)
        print(df.head)
        df.to_csv('gitee/outlier/scenic1_data.csv')
        
        
if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_scenic1_data()
